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Criterion
Design Thinking as a learning loop: an observation notebook, a focused problem statement, different idea sketches, a cardboard prototype and user-test notes. Feedback leads to new understanding.
Innovation
Design Thinking
A hypothetical failure makes concrete risks, signals, and fitting mitigations visible.
Decision Making
Pre-Mortem
Decision Tree method illustration showing its working structure
Decision Making
Decision Tree
Paper illustration for Failure Scenario Analysis.
Engineering
Failure Scenario Analysis
Purposedifferent
For complex user problems with an uncertain cause, the method connects observation, interpretation, and experiment into a learning cycle. It keeps the focus on real needs and avoids premature solution language. This produces robust decisions for product and service.In early initiatives with many uncertainties, planning quickly turns too optimistic. A pre-mortem makes the expected failure visible in advance and sharpens the view of causes, gaps, and countermeasures.For decisions with follow-on paths and dependencies, a linear comparison is often not enough. A Decision Tree shows how options branch under conditions and which consequences hang on each branch.In critical processes, it is not enough to plan only for the normal case. Failure Scenario Analysis looks at the path into failure and shows which failures, chains, and control gaps cause the most damage.
Complexitydifferent
HighLowMediumMedium
Timedifferent
1 Tag bis mehrere Wochen20–45 min30-90 min1-3 h
Participantsdifferent
4-10Small cross-functional group1-63-8
Formatdifferent
WorkshopWorkshopWorkshop + asyncWorkshop
Outputdifferent
Problem Statement, Prototype, Test LearningsRisk list, Mitigation plan, Assumption logDecision Tree, Option Map, Assumption ListFailure Scenarios, Risk Notes, Control Gaps, Test and Response Actions
Tagsno overlap
InnovationPrototypeResearch
RiskDecisionFailurePlanning
DecisionTreeOptions
FailureResilienceRisk
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